Data-driven monitoring in patients on left ventricular assist device support

Lieke Numan, Mehran Moazeni, Marish I. F. J. Oerlemans, Emmeke Aarts, Niels P. van der Kaaij, Folkert W. Asselbergs, Linda W. van Laake

Research output: Contribution to journalReview articleAcademicpeer-review

3 Citations (Scopus)

Abstract

Introduction: Despite an increasing population of patients supported with a left ventricular assist device (LVAD), it remains a complex therapy, and patients are frequently admitted. Therefore, a strict follow-up including frequent hospital visits, patient self-management and telemonitoring is needed. Areas covered: The current review describes the principles of LVADs, the possibilities of (tele)monitoring using noninvasive and invasive devices. Furthermore, possibilities, challenges, and future perspectives in this emerging field are discussed. Expert Opinion: Several studies described initial experiences on telemonitoring in LVAD patients, using mobile phone applications to collect clinical data and pump data. This may replace frequent hospital visits in near future. In addition, algorithms were developed aiming to early detect pump thrombosis or driveline infections. Since not all complications are reflected by pump parameters, data from different sources should be combined to detect a broader spectrum of complications in an early stage. We need to focus on the development of sophisticated but understandable algorithms and infrastructure combining different data sources, while addressing essential aspects such as data safety, privacy, and cost-effectiveness.
Original languageEnglish
Pages (from-to)677-685
Number of pages9
JournalExpert review of medical devices
Volume19
Issue number9
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • LVAD
  • Left ventricular assist device
  • algorithms
  • circadian rhythm
  • prediction
  • remote monitoring

Cite this